![Doga Ozgon](/img/default-banner.jpg)
- Видео 88
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Doga Ozgon
Канада
Добавлен 26 июл 2020
Upgrade your software development skills, one video at a time.
How To Save Your Company $22M On Its Next Data Center | NVIDIA BlueField DPU
In this video you will discover a major way to costs and increase efficiency in your data center by leveraging a state of the art processing unit by NVIDIA. Being specifically designed and optimized for data center workloads, NVIDIA BlueField DPUs provide major leaps in energy efficiency and can effectively drop your hardware and energy costs in your data center.
Read the white paper on NVIDIA BlueFiled DPU here:
resources.nvidia.com/en-us-accelerated-networking-resource-library/nvidia-dpu-power-eff?ncid=ref-inor-132056#cid=nbu02_ref-inor_en-us
or get started with NVIDIA BlueField DPUs here:
www.nvidia.com/en-us/networking/products/data-processing-unit/
Read the white paper on NVIDIA BlueFiled DPU here:
resources.nvidia.com/en-us-accelerated-networking-resource-library/nvidia-dpu-power-eff?ncid=ref-inor-132056#cid=nbu02_ref-inor_en-us
or get started with NVIDIA BlueField DPUs here:
www.nvidia.com/en-us/networking/products/data-processing-unit/
Просмотров: 573
Видео
Factory Solutions | Create AI Based Smart Factories With This Fully Integrated Product
Просмотров 4012 года назад
In this video you will discover a fully integrated customizable AI template that allows you to create smart factories and AI based systems. Helpful Links: Scalers AI website: www.scalers.ai/ GitHub repository: github.com/scalers-ai/factorysolutions Augmented Reality tutorial for Factory Solutions: build.rpr.to/ Intel software youtube account: ruclips.net/user/intelswnetwork This video is sponso...
Python List Comprehensions Full Tutorial || Python For Beginners
Просмотров 2502 года назад
Python List Comprehensions Full Tutorial || Python For Beginners
Python Lambda Functions Tutorial For Beginners
Просмотров 2,2 тыс.2 года назад
Python Lambda Functions Tutorial For Beginners
Asynchronous JavaScript Tutorial For Beginners | Callbacks, Promises, Async Await
Просмотров 2532 года назад
Asynchronous JavaScript Tutorial For Beginners | Callbacks, Promises, Async Await
NVIDIA TensorRT 8 Is Out. Here Is What You Need To Know.
Просмотров 1,8 тыс.3 года назад
NVIDIA TensorRT 8 Is Out. Here Is What You Need To Know.
Google Colab Tutorial for Beginners | Get Started with Google Colab
Просмотров 228 тыс.3 года назад
Google Colab Tutorial for Beginners | Get Started with Google Colab
Data Types in Python | Python For Beginners
Просмотров 3983 года назад
Data Types in Python | Python For Beginners
3 Ways To Create An AI in 2021 | Machine Learning For Beginners
Просмотров 8153 года назад
3 Ways To Create An AI in 2021 | Machine Learning For Beginners
TensorFlow Tutorial For Beginners | Deep Learning with Python
Просмотров 22 тыс.3 года назад
TensorFlow Tutorial For Beginners | Deep Learning with Python
Python Comments Tutorial | Python Tutorial for Beginners
Просмотров 1473 года назад
Python Comments Tutorial | Python Tutorial for Beginners
Python Strings Tutorial | Python for Beginners
Просмотров 2523 года назад
Python Strings Tutorial | Python for Beginners
What is Python Used For? | What Can You Do With Python in 2021?
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What is Python Used For? | What Can You Do With Python in 2021?
How To Add Chapters On YouTube Videos [2020]| Add Timestamps to Your Videos
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How To Add Chapters On RUclips Videos [2020]| Add Timestamps to Your Videos
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How To Make Money On YouTube As A Small YouTuber in 2020
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How To Make a Youtube Thumbnail On iPhone 2020
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How To Make a RUclips Thumbnail On iPhone 2020
Tutorials like these, where people actually get what it's like to be a beginner, are absolutely invaluable.
3100th like. Nice tutorial, wayyyy better than Jupyter notebook.
Thanks!
no one can learn anything from that. you just load random data, no one actually want this for a random data the point is to learn how to use your own..
Best vid ever!!!!! My first video from where I learned about Google Colab and python.
Thanks! Glad you enjoyed it!
love it. Great video
It's not...because, still the "Cannot connect to GPU backend" error, has arrived to get rid of me...! Help me...
Thanks
Thanks you so much ❤
X=5 Y=10 Temp=X X=Y Y=temp Print(x) Print(y)
Thank you, this is really helpful to get started.
arrivé au we-fake ca me déconnecte de mon environnement ca arrive qqn d'autre?
After struggling with bullshit NVIDIA and Cuda installation for TensorFlow I completely gave it up. This is my new path.
Hello and good day, I'm fairly new to the machine learning bubble and I'm facing a certain problem that I can't seem to solve. I have a bit of tunnel vision. The issue is that I would like names to be recognized and differentiated, so that the computer understands that Max Mustermann is someone different from Josef Maier, and that Jeniffer Cortez is someone else than Amy Cortez. I want to input these names into a table, and these names will be continuously changed as you want to correct something or remove someone, etc. Maybe I'm generally on the wrong track in this programming realm to solve the problem, but some guidance would be incredibly helpful. Looking forward to a response and I'm also quite grateful for your video.
ruclips.net/video/f710g26ZFu4/видео.html
What does comments section do I tried sending but receivers do not receive
Can this run a program in the background? meaning when i close the page, it keeps running and sending API calls for example?
Pretty late to this vid but thanks a lot. Learnt a lot from you today!
Thats good, but in interview you probably need to solve it without built in methods. And if there is case that string includes symbols that solution won't work.😊
I knew it! I knew that was how you did it, But I never had the need to swap variables. 😅
thanks for your simple explanation .
Thanks William, glad it helped!
Thanks ❤
Great content, Doga.
Well done,,, Short tutor and clear codes presentation,,, And is useful,,,,! Thanks,,,!
Very good. Keep up the good work
Thank you for this video! It was really helpful!
2 Years, and this video is still out there. Excellent.
Simple, easy and well explained. Thank you.
Thank you so much for the great content.
Very useful. Thank you!
Before your video, I thought that I had to buy a 64-bit computer.
Glad the video helped you!
Same here. Thanks to this video
Thank you so much🥳👍
This was fucking excellent. Thank you!
Let c = a a = b b = c Think of it's like you have two Buckets One has water in it One has sand in it So to swap between both You will need a third Bucket to do it Sorry for my perfect English, But u can get the idea!
Just got started with data science and this video was super helpful for me
so nice to learn from ur video. i understood clearly and gonna work on iris recognition using Artificial neural network in colab. put more videos on this topic bro. thanks bro.
Thank you
Thank you
nice tutorial and undestood
Thanks for the asweome intro🤝🏼
Thank you for sharing, it helped me to get started.
Glad I could help!
For fresher or expr??
thank you for sharing
impressive
very informative and easy to follow thanks a lot
What about lua?
hello this works ? 👇🏼 temp = a a = b b = temp
Hello! Everything worked perfectly up until 9:37 When I run the script I get the message: <>:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma? <>:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma? <ipython-input-7-78a8792b8a50>:12: SyntaxWarning: 'int' object is not subscriptable; perhaps you missed a comma? my_model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=1['accuracy']) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-7-78a8792b8a50> in <module> 10 metrics=[tf.keras.metrics.BinaryAccuracy(), 11 tf.keras.metrics.FalseNegatives()]) ---> 12 my_model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=1['accuracy']) 13 14 # train the model TypeError: 'int' object is not subscriptable
solution #1 is destructuring right?
Hello Doga, what is the way to send you a private message?
You can always send me a DM on LinkedIn. Here is the link to my profile for your convenience: www.linkedin.com/in/dogaozgon/